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September 10, 2025

Multi-strategy Integrated Grey Wolf Optimization Algorithm

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This investigation demonstrates improved convergence in optimization tasks, integrating strategies from Aquila and Whale optimization algorithms.

The enhanced algorithm shows significant improvements in convergence precision and computational efficiency.
Innovative features like chaotic initialization and adaptive weighting enhance population diversity.
Evaluation against CEC2005's benchmark functions underscores its effectiveness in optimization tasks.
The algorithm successfully addresses real-world engineering problems within complex optimization landscapes.

Xu et al. (2025) studied this question.

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This investigation demonstrates improved convergence in optimization tasks, integrating strategies from Aquila and Whale optimization algorithms.